Thilak Ruwan Chamara Denipitiya
ruwan
AI & ML interests
AI
Recent Activity
reacted to FredyRivera-dev's post with 🚀 about 4 hours ago
We wrote a full technical guide on how to train a bilingual (ES/EN) LLM from scratch: TinyQwen.
Covers:
- Hybrid architecture based on Qwen3.5
- Pre-training with 15B tokens
- Cost benchmark between H200 and B200
- Post-training with SFT + LoRA
- Full code and data, open source
With ~$11 of compute on an H200 we ran an initial training run, enough to validate the full architecture and pipeline.
Blog post: https://aquiles-ai.vercel.app/blog/tinyqwen-from-scratch
Technical feedback welcome, especially from anyone looking to replicate the pipeline with more compute. liked a model about 17 hours ago
nightmedia/Qwen3.5-9B-Holodeck-Fara liked a model about 18 hours ago
microsoft/Fara1.5-9BOrganizations
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